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CUAHSI Hydrologic Information System
Summary as of June 30, 2004by David R. Maidment
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CUAHSI Hydrologic Information System Participants
Core Team: D. Maidment, J. Helly, P. Kumar, M. Piasecki, R. Hooper, J. Duncan
Collaborators: V. Lakshmi, X. Liang, Y. Liang, U. Lall, L. Poff, K. Reckhow, D.
Tarboton, I. Zaslavsky, C. Zheng
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Hydrologic Information System Data Organization
Hydrologic Digital Library(Digital files of hydrologic information in any form,
indexed by a metadata catalog)
Flux Assessment System
Process model domainsTime series GIS data
Space-time grids Statistics
Hydrologic Data Model Application Systems
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CUAHSI HIS is meant to facilitate:
• Data Acquisition– quicker, easier, usable formats
• Data Archiving– experimental and regional data for HO’s
• Data Assembly– bringing the data together, data model
• Data Analysis– visualization, statistics, hypothesis testing.
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CUAHSI Hydrologic Information Systems
• Work of the five project partners– CUAHSI– San Diego Supercomputer Center– University of Texas– University of Illinois– Drexel University
• Involving the collaborators……Ken Reckhow, Yao Liang
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Drexel University
• Michael Piasecki is PI, assisted by Luis Bermudez
• Goal is to study metadata languages and standards to find what is most suitable for hydrology
• Concept hierarchies stored in “ontologies” described in OWL (Ontology Web Language)
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Content
• Selection of the “base” metadata specification
• Expression of the selection using ontologies
• Profiles
• Tools to extend metadata specifications to allow
creation of profiles
• Sources for hydrologic vocabulary
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Selection of base metadata specification
Specification Level of
Conceptualization Scope
ISO:19115:2003
UML: easily transportable to an
ontology
Global
FGDC-STD-001-1998Not presented in a conceptual way
(text and DTD)US
EML 2.0.0 XML schema Community
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Selection of base metadata specification
ISO:19115:2003
FGDC-STD-001-1998
Mapping will be available
EML 2.0.0
They use ideas in ISO and FGDC ( do not really use their elements ); however they present detail elements to describe format and security constraints
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ISO Metadata formalized in OntologiesISO 19115:2003 (Geographic Metadata)
http://loki.cae.drexel.edu/~wbs/ontology/2004/04/iso-metadata
ISO 19108 (Temporal Schema)
http://loki.cae.drexel.edu/~wbs/ontology/2004/05/iso-19108
ISO 19107 (Spatial Schema)
ISO 19110(Methodology for feature cataloguing)
In progress
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FGDC Metadata formalized in Ontology
Why ? We can express the mappings in machine readable format
How? Java program is coded to convert FGDC XML Schemas to OWL
FGDC XML schemas available at:http://www.fgdc.gov/metadata/metaxml.html
Extraction of classes and properties and cardinalities
Conversion of datatypes and codelist to be done
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CUAHSI – Profile V.1.0
1) Extend ISO
2) Set as core (Metadata elements selected to be used by CUAHSI)
3) Set some mandatory
4) Create domain list to fit needs
Express in machine readable format OWL/XML
fully interoperable
with original ISO
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CUAHSI – Profile V.1.0
ISO 19115
ISO 19108 ISO 19107
ISO 19110
CUAHSI Profile
1) Extend ISO
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CUAHSI – Profile V.1.0
2) Set as core
<owl:AnnotationProperty rdf:ID="core">
Using: “flag” to mark the core elements
core = true
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iso:MD_Metadata+ metadataConstraints[0..n] : MD_Constraints …
cuahsi:MD_Metadata+ metadataConstraints[1..n] : MD_Constraints …
3) Set as Mandatory- Security and legal Constraints
- Data quality Lineage (including process steps)
CUAHSI – Profile V.1.0
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4) New code lists
MD Classification Code for security Constraints
- World
- Group
- Owner
CUAHSI – Profile V.1.0
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Profiles and subprofiles
CUAHSI Profile V.1.0
Features-Profile TimeSeries-Profile
… ……
In progress
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Identifying characteristics of elements
What can be created by the user? E.g. abstract.
What can be created by the metadata software. E.g. metadata version, date of creation.
What can automatically be created by the tools creating the data :E.g. lineage.
What can be extracted from files which format is known: E.g. HDF or shape files.
In progress
Also will be expressed in OWL/XML using an annotation property
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User profiles
To facilitate creation of metadata by reusing resources
E.g. Citation Responsible Party
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Vocabulary in metadata instancesStudied the files located at: http://www.env.duke.edu/cares
Created an ontology with features, attributes and keywords of the ~62 files to depict the heterogeneity problems
- Some have FGDC metadata, others do not
- Semantic Heterogeneity is found in feature and attributes
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How to deal with this problem?
In automatic data creation the feature name and attributes could be set a priori (or mapped ) from a hydrologic ontology that supplies the terms.
In manual creation of metadata we could map the semantics when uploading files:
Similar to Lin, K. and B. Ludäscher work at SDSC mapping geological maps
Users map their semantics to a hydrologic ontology.
A system should assist making good guesses from previous mappings and ontology inference :
Purpose to have a usable ontology
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Ontologies constructionCreation of a top hydrologic ontology that is mapped with Wordnet ( the ontology with more usage as of today)
http://loki.cae.drexel.edu/~how/upper/upper.html
Creation of hydrologic units ontology Extracting hydrologic terms to define feature and attributes :
- ARC HYDRO in progress
- UNESCO Thesaurus
- GCMD
- SWEET
- GETTY
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What is next?Build Metadata descriptions for Neuse_files (initially 2)
Core set for anydata set in CUAHSI
automatically set
auto user profile
user “by hand” want this to be very small
Data set 1 Data set 2
Data set specific elementsand attributes
=> all in MIF format for HydroViewer
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CUAHSI Hydrologic Information Systems
• Work of the five project partners– CUAHSI– San Diego Supercomputer Center– University of Texas– University of Illinois– Drexel University
• Involving the collaborators……
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New Concept of PublicationNew WayOld Way
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HydroViewer GUI
NeuseRiverWatershedCollection
HydroViewer Demoby John Helly
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SDSC Multiview Map Viewer
http://geo.sdsc.edu/website/SIO_Expl/viewer.htm
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Wireless telecommunicationof water resources data
Can we use thesedata as a prototype forthe CUAHSI observatory?
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CUAHSI Hydrologic Information Systems
• Work of the five project partners– CUAHSI– San Diego Supercomputer Center– University of Texas– University of Illinois– Drexel University
• Involving the collaborators……
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University of Texas
• David Maidment is PI, assisted by Jon Goodall, Gil Strassberg, Venkatesh Merwade
• Hydrologic data model development– atmospheric water, surface water, subsurface
water– interoperable analysis environment
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Information Sources
Analysis and Visualization
Hydrologic Information Data Model
CUAHSI Hydrologic Information System
GIS
Experiments
Simulation
Monitoring
Climate models
2. Integrate data into a coherent structure
3. Do science
1. Assemble data from many sources
Hypothesis testing
Data Assimilation
Remote sensing
Statistics
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Created first for the Neuse basin and then for each of the following CUAHSI Observatory Planning basins
Digital Watershed:An implementation of the CUAHSI Hydrologic Information Data Model for a particular region
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http://neuse.crwr.utexas.edu/
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Neuse Basin: Coastal aquifer system
* From USGS, Water Resources Data Report of North Carolina for WY 2002
Section line
Beaufort Aquifer
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A 3-D Volume Model of the Beaufort Aquifer
Beaufort confining layer
Beaufort aquifer
Built by Gil Strassberg from borehole information collected by the Neuse basin case study
team
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RUC20 – Output SamplesPrecipitable water in the atmosphere
Cross-section of relative humidity
Images created from Unidata’s Integrated Data Viewer (IDV)
Wind vectors and wind speed (shading)
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Surface Water Information
ArcIMS Web Server displaying data compiled in Neuse HO Planning Study
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Neuse basin data in Multiview
http://geo.sdsc.edu/website/SIO_Expl/viewer.htm
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Data ModelHydroObject
Continuous Discrete Coupler
HydroVolume
HydroArea
HydroLine
HydroPoint
Raster
HydroElement
TIN
HydroScalar
HydroVector
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Ontology
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Discrete
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Discrete
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Continuous
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Coupler
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Coupling table
FromID ToID Feature
1 2 4
2 3 5
Where …HydroID of canal feature = 2
HydroID of upstream canal feature = 1HydroID of downstream canal feature = 3HydroID of upstream control structure = 4
HydroID of downstream control structure = 5
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Mass balance
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University of Illinois
• Praveen Kumar is PI, assisted by Benjamin Ruddell
• Developing “Modelshed” which is an generalized hydrologic modeling and data analysis environment built on top of Arc Hydro
• Focused on applications integrating hydrology and climate modeling
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Flow
Time
Time Series
Hydrography
Hydro Network
Channel System
Drainage System
Arc Hydro Components
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What is a Modelshed?• A volumetric spatial
model unit, registered in three dimensions by a GIS, with which time-varying data, model fluxes, spatial relationships and descriptive metadata are associated
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CUAHSI Hydrologic Information Systems
• Work of the five project partners– CUAHSI– San Diego Supercomputer Center– University of Texas– University of Illinois– Drexel University
• Involving the collaborators……Ken Reckhow, Yao Liang
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Involving the Collaborators…..
• We have a good start
• How do we involve the collaborators in a productive way?
• How should we interact with the Hydrologic Observatory proposers (meeting at Utah State on August 24-25)?
• Possible CUAHSI “all hands” meeting at SDSC on August 12-13